from types import SimpleNamespace
|
|
import pytest
|
|
from pandas.core.dtypes.common import is_float
|
|
import pandas._testing as tm
|
|
|
def test_assert_attr_equal(nulls_fixture):
|
obj = SimpleNamespace()
|
obj.na_value = nulls_fixture
|
tm.assert_attr_equal("na_value", obj, obj)
|
|
|
def test_assert_attr_equal_different_nulls(nulls_fixture, nulls_fixture2):
|
obj = SimpleNamespace()
|
obj.na_value = nulls_fixture
|
|
obj2 = SimpleNamespace()
|
obj2.na_value = nulls_fixture2
|
|
if nulls_fixture is nulls_fixture2:
|
tm.assert_attr_equal("na_value", obj, obj2)
|
elif is_float(nulls_fixture) and is_float(nulls_fixture2):
|
# we consider float("nan") and np.float64("nan") to be equivalent
|
tm.assert_attr_equal("na_value", obj, obj2)
|
elif type(nulls_fixture) is type(nulls_fixture2):
|
# e.g. Decimal("NaN")
|
tm.assert_attr_equal("na_value", obj, obj2)
|
else:
|
with pytest.raises(AssertionError, match='"na_value" are different'):
|
tm.assert_attr_equal("na_value", obj, obj2)
|
